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Neural control for voltage dips ride-through of oscillating water column-based wave energy converter equipped with doubly-fed induction generator

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  • Alberdi, Mikel
  • Amundarain, Modesto
  • Garrido, Aitor
  • Garrido, Izaskun

Abstract

The increasing penetration of renewable distributed power generation systems within electricity markets has given rise to new technical requirements. One of the most demanded skills is a fault-ride-through capability during voltage drops in the transmission system. This paper investigated the application of a neural control scheme to achieve the uninterrupted operation of oscillating water column-based wave energy converter equipped with doubly-fed induction generator during balanced grid faults. It is proposed an innovative solution consisting of a control scheme that suitably coordinates the air flow control, the active crowbar and the variable frequency converter, fulfilling the Spanish Grid Code. Besides, the variety of cases presented due to different sea states (amplitude and frequency) and characteristics of the grid fault (voltage drop and fault period), makes it necessary to adequately modify the references used by the controllers in order to achieve the desired fault-ride-through capability. In this sense, it has been implemented a neural control that adapts the controller references according to the pressure drop and voltage reduction, improving the controllability of the active and reactive power and the fault-ride-through capability during voltage drops.

Suggested Citation

  • Alberdi, Mikel & Amundarain, Modesto & Garrido, Aitor & Garrido, Izaskun, 2012. "Neural control for voltage dips ride-through of oscillating water column-based wave energy converter equipped with doubly-fed induction generator," Renewable Energy, Elsevier, vol. 48(C), pages 16-26.
    • Handle: RePEc:eee:renene:v:48:y:2012:i:c:p:16-26
    DOI: 10.1016/j.renene.2012.04.014
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    Cited by:

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    5. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. Marei, Mostafa I. & Mokhtar, Mohamed & El-Sattar, Ahmed A., 2015. "MPPT strategy based on speed control for AWS-based wave energy conversion system," Renewable Energy, Elsevier, vol. 83(C), pages 305-317.
    7. Ozkop, Emre & Altas, Ismail H., 2017. "Control, power and electrical components in wave energy conversion systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 106-115.
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    9. Chan Roh, 2022. "Performance Comparisons of Three-Phase/Four-Wire Model Predictive Control-Based DC/AC Inverters Capable of Asymmetric Operation for Wave Energy Converters," Energies, MDPI, vol. 15(8), pages 1-21, April.

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